Jobs · Science · Maryland

Lead Statistician HEOR

Thermo Fisher Scientific · Maryland, United States · 3 wk ago
RemoteRemoteScienceFull-time

Essential Duties and Responsibilities

  • Draft SAPs for projects that require use of advanced statistical methodologies
  • Advises junior and mid-level staff on methodology and approach on projects requiring use of standard statistical methodologies
  • Reviews and approves SAPs projects that require use of standard statistical methodologies
  • Lead implementation & interpretation of analyses on projects requiring the use of advanced statistical methodologies
  • Provides guidance and advice as needed for junior and mid-level staff on projects requiring use of standard statistical methodologies
  • Lead proposal development in familiar project-types or take a supportive role for more complex projects
  • Determine technical approach, review proposal drafts and take responsibility of stats components
  • Get involved in client discussions
  • Obtain significant levels of repeat business from clients
  • Lead technical response to requests for proposals, generate repeat work and amendments
  • Identify opportunities for new work
  • Advise and peer-review budget
  • Communicate effectively and proactively with project teams
  • Able to work with and delegate to junior and mid-level staff, responsible for deliverable quality and integrity
  • Review and support presentations by more junior staff
  • Provide on-the-spot problem-solving and consulting in discussions of results
  • Contribute to the conceptualization and development of novel/bespoke solutions to meet client project needs
  • Independently investigate the properties, applicability and advantages/disadvantages of both: Methodologies developed by Evidera as bespoke solutions to client projects Newly published methodologies, and seeks senior input when needed
  • Lead the development of parts of tools/macros that improve efficiency of project execution, seeking senior input when needed
  • Provide technical training on the tools developed within HEMA Scientific
  • Develop and implement the best scientific practices/guidelines, product development/new methods, or deliverable standards
  • Support external thought leadership through publications and workshops
  • Look for opportunities to disseminate knowledge

Financial and managerial

  • Responsible for achieving utilization and proposal and sales targets
  • Supervise and mentor junior and mid-level staff, involvement in hiring and development of staff, conducting performance reviews

Education, Professional Skills & Experience

  • PhD in Biostatistics/Statistics or related field with 4+ years of experience
  • MSc in Biostatistics/Statistics or related field with 6+ years of experience
  • BSc in Biostatistics/Statistics or related field with 8+ years of experience
  • Strong basis in fundamental statistical concepts and methods, and expertise with techniques such as regression analysis (continuous, binary, count data), longitudinal data analysis (mixed effects linear regression), parametric and semi-parametric survival analysis, meta-analysis, indirect treatment comparisons, issues related to missing data, etc.
  • Practical experience in standard statistical applications in health economics such as: Standard parametric and semi-parametric survival analyses Flexible parametric models (spline, piecewise) ITC methods (Bucher, network meta-analyses [NMA], matching-adjusted indirect comparisons [MAICs], simulated treatment comparisons) Country-specific utility analyses to inform CEMs
  • Familiarity with complex methods, including: Projecting incomplete survival data using Bayesian parametric survival models with informative priors Adjustment for treatment switching (rank preserving structural failure time, inverse probability of censoring weighting, two-stage estimation) Mixture cure models multi-state models Multilevel network meta-regression and fractional polynomial NMA Surrogacy analyses
  • Statistical programming skills with standard software, including R and/or STATA/SAS
  • Ability to communicate analysis plans and results to clients or colleagues who may have limited background in statistics
  • Scientific visibility in terms of authorship of peer-reviewed publications, podium presentations and posters at conferences
  • Leading development and deployment of technology solutions for initiatives involving automation or AI-enablement in statistics and other areas in health economics and market access will be an asset

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